Live · online Placement-backed

Advanced Data Science & AI Engineering

Live, instructor-led training designed to get you hired — you pay only after placement.

★★★★★4.9 · 110 student reviews· 2,400+ careers launched across CareerCracker

Duration

90 Hours

Format

Live online

Timings

8:30–9:30 PM

Level

All graduates

// Why this track

A high-demand career that doesn't need coding

Every company running IT needs people to manage incidents, changes and operations. STOM puts you on that path — fast.

In constant demand

Service management roles exist in every bank, IT firm and enterprise — stable, recession-resistant career paths.

Open to any graduate

No programming background needed. Ideal for non-technical grads and professionals switching into IT.

Clear growth ladder

Move from analyst to manager — incident, problem, change and transition leadership roles up to ₹36 LPA.

// What you'll master

Skills that map to real job descriptions

Incident Management Major Incident handling & bridge calls Problem Management & RCA Change & Release Management Service Transition Knowledge & CMDB SLA / OLA management ITIL 4 framework Stakeholder communication Reporting & dashboards

// Curriculum · 8 modules · 48 lessons

Built to mirror Day 1 on the job

Live sessions, real tickets and hands-on workflows — not theory dumps.

01Python for Data Science+

Build the Python foundation every data role depends on.

Python essentials & environments
NumPy arrays & vectorization
Pandas DataFrames
Reading & writing data
Jupyter workflow
Reusable functions & code style

Hands-on:Load a messy dataset and produce a clean, analysis-ready DataFrame.

02Statistics & Probability for ML+

The maths that makes models trustworthy.

Descriptive statistics
Probability & distributions
Sampling & confidence intervals
Hypothesis testing
Correlation vs causation
Bias & variance intuition

Hands-on:Run hypothesis tests on a real dataset and interpret the results.

03Data Wrangling & EDA+

Turn raw data into insight before any modelling.

Handling missing & dirty data
Feature scaling & encoding
Outlier detection
Exploratory data analysis
Visualization with matplotlib/seaborn
Data storytelling

Hands-on:Produce a full exploratory analysis with visual insights.

04Supervised Machine Learning+

Predict outcomes with regression and classification.

Train/test split & validation
Linear & logistic regression
Decision trees & random forests
Gradient boosting (XGBoost)
Model evaluation metrics
Hyperparameter tuning

Hands-on:Build and evaluate a classification model with proper validation.

05Unsupervised Learning & Feature Engineering+

Find structure in unlabeled data and craft better features.

Clustering (K-means, hierarchical)
Dimensionality reduction (PCA)
Feature engineering techniques
Pipelines
Anomaly detection
Recommendation basics

Hands-on:Segment customers with clustering and engineer predictive features.

06Deep Learning & Neural Networks+

Build neural networks with modern frameworks.

Neural network fundamentals
TensorFlow / PyTorch basics
CNNs for images
RNNs & sequences
Transfer learning
Training & regularization

Hands-on:Train an image classifier with a convolutional neural network.

07NLP & Generative AI+

Work with text and today's large language models.

Text processing & embeddings
Sentiment & text classification
Transformers overview
Working with LLM APIs
Prompt engineering
Retrieval-augmented generation (RAG)

Hands-on:Build a text-classification model and a simple LLM-powered app.

08MLOps, Deployment & Capstone+

Ship models to production and complete a portfolio project.

Model serialization & APIs
Deploying models (Flask/FastAPI)
Versioning & monitoring basics
Cloud deployment overview
Reproducible pipelines
End-to-end capstone

Hands-on:Deploy a trained model as an API and present an end-to-end capstone.

// Tools you'll use

Hands-on with industry platforms

ServiceNow ITIL 4 Jira Service Management BMC Remedy CMDB Dashboards & Reporting

// Where it leads

Roles you'll be ready for

Incident Manager₹8–14 LPA

Major Incident Manager₹12–20 LPA

Problem Manager₹10–18 LPA

Change Manager₹12–22 LPA

Service Transition Manager₹16–36 LPA

Service Operations Lead₹10–20 LPA

// Proof

STOM graduates, placed

"I completed STOM at Career Cracker and now work as a Major Incident Manager at Infosys. The course was industry-focused, detailed and full of real-world insights — highly recommended for advancing in IT management."

Aayushi Waghmare

Major Incident Manager · Infosys

₹14 LPA

package

"STOM transformed my career. I landed a Change Manager role at Wipro. It covered incident, problem and change management with a practical approach and strong instructor support — perfect for IT managerial roles."

Pragya Singh

Change Manager · Wipro

₹16 LPA

package

// Transparent fees

Pay ₹15,000 to start. The rest, only after you're placed.

No lakhs upfront. Your placement fee applies only once you have a confirmed offer with a verified salary — and it's payable in instalments.

STEP 01

₹15,000

One-time onboarding fee to join your batch and access the portal. That's all you pay to begin.

STEP 02

₹0 during training

Learn, build and interview with full placement support — nothing more is due while you're job-hunting.

STEP 03

Pay after placement

Once you're hired with a verified salary, the placement fee applies — in instalments, scaled to your package.

// Questions, answered

STOM — common questions

Do I need a coding or IT background?+

No. STOM is built for any graduate, including non-technical and career-switching candidates. The skills are process- and management-focused, not programming.

What are the class timings?+

Live weekday evening sessions, roughly 8:30–9:30 PM IST, so you can attend alongside a job or college. Sessions are interactive — never just recordings.

What happens if I'm not placed?+

Placement support — referrals, interview scheduling and prep — continues until you hold an offer. And you only pay the placement fee after you've actually been hired.

How much is the total fee?+

You pay ₹15,000 to start. The remaining placement fee applies only after you're placed, is scaled to your salary bracket, and can be paid in instalments. Our team will walk you through the exact slab on your demo call.

Will I get a certificate?+

Yes — you receive a CareerCracker completion certificate, plus a portfolio of real service-management work to show employers.